Hi everyone Instats is excited to offer a 2-day seminar, Robust Methods for Regression Modeling <https://instats.org/seminar/robust-methods-for-regression-modeling>, running livestreaming August 13–15 and led by Professor Holmes Finch from the Department of Educational Psychology at Ball State University. Traditional regression techniques rest on assumptions—normality, linearity, homoscedasticity, and the absence of outliers—that real-world data rarely satisfy. This workshop equips you with cutting-edge robust and nonparametric approaches that safeguard your inferences when those assumptions crumble. Under Professor Finch’s expert guidance, you will explore the theory behind robust regression, learn to diagnose assumption violations, and implement state-of-the-art methods in R to handle outliers, heteroskedasticity, and non-linear relationships. Through a blend of concise lectures and hands-on coding with real datasets, you will compare robust and classical estimators, practice improving model fit and interpretation, and leave prepared to report rigorous, reproducible results in your publications.
Sign up today <https://instats.org/seminar/robust-methods-for-regression-modeling> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
